{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Model ensembling_B.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aioXSBcTd6t_"
      },
      "source": [
        "## Download and prepare the CIFAR10 dataset\n",
        "\n",
        "The CIFAR10 dataset contains 60,000 color images in 10 classes, with 6,000 images in each class. The dataset is divided into 50,000 training images and 10,000 testing images. The classes are mutually exclusive and there is no overlap between them."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0A3hEgWIdfCm"
      },
      "source": [
        "### Blog\n",
        "https://towardsdatascience.com/ensembling-convnets-using-keras-237d429157eb"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_gItlTiNdva_"
      },
      "source": [
        "from tensorflow.keras import datasets\n",
        "(train_images, train_labels), (test_images, test_labels) = datasets.cifar10.load_data()"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dp4zEHbOuUQr",
        "outputId": "2c8619b9-21ab-476b-b231-a9bc5c836dbb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        }
      },
      "source": [
        "class_names = ['0.airplane', '1.automobile', '2.bird', '3.cat', '4.deer',\n",
        "               '5.dog', '6.frog', '7.horse', '8.ship', '9.truck']\n",
        "display(class_names)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "['0.airplane',\n",
              " '1.automobile',\n",
              " '2.bird',\n",
              " '3.cat',\n",
              " '4.deer',\n",
              " '5.dog',\n",
              " '6.frog',\n",
              " '7.horse',\n",
              " '8.ship',\n",
              " '9.truck']"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A7UAkesLuB2O",
        "outputId": "f43f644c-7106-4354-83cc-6fc0c1d3c22e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "pict = 9\n",
        "# Visualizing Data¶\n",
        "pic  = train_images[pict]\n",
        "plt.imshow(pic,cmap = plt.cm.binary)\n",
        "plt.show()\n",
        "\n",
        "# Actual Label\n",
        "print(\"Actual Label :\",train_labels[pict])"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Actual Label : [3]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k9hjYA9peP6g"
      },
      "source": [
        "Or let's plot the first 25 images from the training set and display the class name below each image."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NiCX0KbGeLpu",
        "outputId": "8fdb79c0-5f9c-4e9f-b7a9-d1cbcbfc0791",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 589
        }
      },
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "for i in range(25):\n",
        "    plt.subplot(5,5,i+1)\n",
        "    plt.xticks([])\n",
        "    plt.yticks([])\n",
        "    plt.grid(False)\n",
        "    plt.imshow(train_images[i], cmap=plt.cm.binary)\n",
        "    # The CIFAR labels happen to be arrays, \n",
        "    # which is why you need the extra index\n",
        "    plt.xlabel(class_names[train_labels[i][0]])\n",
        "plt.show()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x720 with 25 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g0ZtVuCJyACJ"
      },
      "source": [
        "# Normalize pixel values to be between 0 and 1\n",
        "x_train, x_test = train_images / 255.0, test_images / 255.0\n",
        "\n",
        "# One hot encoding\n",
        "from tensorflow.keras.utils import to_categorical\n",
        "y_train = to_categorical(train_labels) \n",
        "y_test = to_categorical(test_labels)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HN0hGVSKDV66",
        "outputId": "37e29b43-d083-441d-d2de-a6d3919283d6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# model input shape\n",
        "from tensorflow.keras import Input\n",
        "\n",
        "input_shape = train_images[0,:,:,:].shape\n",
        "model_input = Input(shape=input_shape)\n",
        "print(model_input.shape)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(None, 32, 32, 3)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0ojDBC6TKc-L"
      },
      "source": [
        "# Creating a callback function to minimize further code"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1Ux_Bmkwlr_E"
      },
      "source": [
        "# saving model, creating log for tensorboaed and applying few callbacks\n",
        "\n",
        "def callbacks(Log,Dir):\n",
        "  import tensorflow as tf\n",
        "  import os\n",
        "\n",
        "  Filepath = Path\n",
        "  logdir = os.path.join(Filepath, Dir)\n",
        "  \n",
        "  callbacks_list = [tf.keras.callbacks.TensorBoard(\n",
        "                    log_dir=logdir,                 #  tensorboard log path      \n",
        "                    histogram_freq=1,),\n",
        "                    tf.keras.callbacks.EarlyStopping(   # stop if not improving\n",
        "                    monitor='val_accuracy',patience=2,),           # monitor validation accuracy\n",
        "                    #tf.keras.callbacks.ReduceLROnPlateau(\n",
        "                    #monitor='val_loss',factor=0.1,         # lr ko .1 se multiply kerdo (kam kerdo)\n",
        "                    #patience=10,),                # reduce the lrate if val loss stop improving\n",
        "                    tf.keras.callbacks.ModelCheckpoint(\n",
        "                    filepath= Filepath,             # save model path\n",
        "                    monitor='val_loss',             # only save best weights\n",
        "                    save_best_only=True,)]\n",
        "  return callbacks_list"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yg6B78g_cJnW"
      },
      "source": [
        "### 1st model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CkDa0LNrJUTb"
      },
      "source": [
        "from tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D, Flatten\n",
        "from tensorflow.keras import Model, optimizers\n",
        "\n",
        "#model_input = Input(shape=(32, 32, 3))\n",
        "x = Conv2D(64, kernel_size=(3, 3), activation='relu', padding = 'same')(model_input)\n",
        "x = Conv2D(64, (3, 3), activation='relu', padding = 'same')(x)\n",
        "x = Conv2D(32, (3, 3), activation='relu', padding = 'same')(x)\n",
        "x = MaxPooling2D(pool_size=(3, 3), strides = 2)(x)\n",
        "x = Conv2D(32, (3, 3), activation='relu', padding = 'same')(x)\n",
        "x = Flatten()(x)\n",
        "output = Dense(10, activation='softmax')(x) \n",
        "\n",
        "model1 = Model(inputs=model_input, outputs=output)\n",
        "#model1.summary()\n",
        "\n",
        "#SGD #RMSprop #Adam #Adadelta #Adagrad ##Adamax ###Nadam #Ftrl\n",
        "#opt = optimizers.Adam(lr=1e-3)\n",
        "opt = \"Adam\"\n",
        "model1.compile(optimizer = opt, \n",
        "              loss = \"categorical_crossentropy\",\n",
        "              metrics = [\"accuracy\"])"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mUFF9o-0PfnZ",
        "outputId": "f925ae3e-085b-4317-81bb-2c0007fc73cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 539
        }
      },
      "source": [
        "Path = \"model1\"\n",
        "Dir = \"my_log_dir\"   \n",
        "Call_B_Fun = callbacks(Path,Dir)\n",
        "\n",
        "history = model1.fit(x_train, y_train,\n",
        "                     batch_size=32, epochs = 20,\n",
        "                     validation_split = 0.2,\n",
        "                     callbacks=Call_B_Fun)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "   1/1250 [..............................] - ETA: 0s - loss: 2.3003 - accuracy: 0.1250WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/summary_ops_v2.py:1277: stop (from tensorflow.python.eager.profiler) is deprecated and will be removed after 2020-07-01.\n",
            "Instructions for updating:\n",
            "use `tf.profiler.experimental.stop` instead.\n",
            "WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0079s vs `on_train_batch_end` time: 0.0263s). Check your callbacks.\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 1.4136 - accuracy: 0.4940WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/training/tracking/tracking.py:111: Model.state_updates (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This property should not be used in TensorFlow 2.0, as updates are applied automatically.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/training/tracking/tracking.py:111: Layer.updates (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "This property should not be used in TensorFlow 2.0, as updates are applied automatically.\n",
            "INFO:tensorflow:Assets written to: model1/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.4135 - accuracy: 0.4940 - val_loss: 1.1395 - val_accuracy: 0.5983\n",
            "Epoch 2/20\n",
            "1240/1250 [============================>.] - ETA: 0s - loss: 0.9750 - accuracy: 0.6617INFO:tensorflow:Assets written to: model1/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 0.9743 - accuracy: 0.6619 - val_loss: 0.9109 - val_accuracy: 0.6843\n",
            "Epoch 3/20\n",
            "1241/1250 [============================>.] - ETA: 0s - loss: 0.8196 - accuracy: 0.7147INFO:tensorflow:Assets written to: model1/assets\n",
            "1250/1250 [==============================] - 7s 5ms/step - loss: 0.8190 - accuracy: 0.7151 - val_loss: 0.8970 - val_accuracy: 0.6903\n",
            "Epoch 4/20\n",
            "1245/1250 [============================>.] - ETA: 0s - loss: 0.7262 - accuracy: 0.7460INFO:tensorflow:Assets written to: model1/assets\n",
            "1250/1250 [==============================] - 7s 5ms/step - loss: 0.7259 - accuracy: 0.7461 - val_loss: 0.8645 - val_accuracy: 0.7058\n",
            "Epoch 5/20\n",
            "1245/1250 [============================>.] - ETA: 0s - loss: 0.6459 - accuracy: 0.7761INFO:tensorflow:Assets written to: model1/assets\n",
            "1250/1250 [==============================] - 7s 5ms/step - loss: 0.6456 - accuracy: 0.7761 - val_loss: 0.8481 - val_accuracy: 0.7145\n",
            "Epoch 6/20\n",
            "1250/1250 [==============================] - 6s 5ms/step - loss: 0.5700 - accuracy: 0.8029 - val_loss: 0.9164 - val_accuracy: 0.7002\n",
            "Epoch 7/20\n",
            "1250/1250 [==============================] - 6s 5ms/step - loss: 0.5116 - accuracy: 0.8228 - val_loss: 0.9276 - val_accuracy: 0.6994\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A-CArJaSceBe"
      },
      "source": [
        "### To view in Tensorboard"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zAXN-cprcAX3"
      },
      "source": [
        "#%load_ext tensorboard\n",
        "#%tensorboard --logdir=model1/my_log_dir"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6knoWfmj42zT"
      },
      "source": [
        "## Evaluate the model by calculating the error rate on the test set."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mBw0emjH37UK",
        "outputId": "d0a3a364-dca2-40ad-df1c-480876a034a8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "import numpy as np\n",
        "\n",
        "def evaluate_error(model):\n",
        "  pred = model.predict(x_test, batch_size = 32)\n",
        "  pred = np.argmax(pred, axis=1)\n",
        "  pred = np.expand_dims(pred, axis=1) # make same shape as y_test\n",
        "  error = np.sum(np.not_equal(pred, y_test)) / y_test.shape[0]   \n",
        "  return error\n",
        "\n",
        "evaluate_error(model1)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.9368"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ODQMMjsKcgsa"
      },
      "source": [
        "### 2nd model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M-h_2wYy-N8c"
      },
      "source": [
        "from tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, Dropout, GlobalAveragePooling2D\n",
        "from tensorflow.keras import Model, optimizers\n",
        "\n",
        "#model_input = Input(shape=(32, 32, 3))\n",
        "\n",
        "#mlpconv block1\n",
        "x = Conv2D(32, (5, 5), activation='relu',padding='valid')(model_input)\n",
        "x = Conv2D(32, (1, 1), activation='relu')(x)\n",
        "x = Conv2D(32, (1, 1), activation='relu')(x)\n",
        "x = MaxPooling2D((2,2))(x)\n",
        "x = Dropout(0.5)(x)\n",
        "\n",
        "#mlpconv block2\n",
        "x = Conv2D(64, (3, 3), activation='relu',padding='valid')(x)\n",
        "x = Conv2D(64, (1, 1), activation='relu')(x)\n",
        "x = Conv2D(64, (1, 1), activation='relu')(x)\n",
        "x = MaxPooling2D((2,2))(x)\n",
        "x = Dropout(0.5)(x)\n",
        "\n",
        "#mlpconv block3\n",
        "x = Conv2D(128, (3, 3), activation='relu',padding='valid')(x)\n",
        "x = Conv2D(32, (1, 1), activation='relu')(x)\n",
        "x = Conv2D(10, (1, 1), activation='relu')(x)\n",
        "x = GlobalAveragePooling2D()(x)\n",
        "\n",
        "x = Flatten()(x)\n",
        "output = Dense(10, activation='softmax')(x) # sigmoid\n",
        "\n",
        "model2 = Model(inputs=model_input, outputs=output)\n",
        "#model1.summary()\n",
        "\n",
        "#SGD #RMSprop #Adam #Adadelta #Adagrad ##Adamax ###Nadam #Ftrl\n",
        "#opt = optimizers.Adam(lr=1e-3)\n",
        "opt = \"Adam\"\n",
        "model2.compile(optimizer = opt, \n",
        "              loss = \"categorical_crossentropy\",\n",
        "              metrics = [\"accuracy\"])"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DH7IemR5CIk9",
        "outputId": "c9da1996-29d7-43f5-e467-3e34043bff55",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 921
        }
      },
      "source": [
        "Path = \"model2\"\n",
        "Dir = \"my_log_dir\"   \n",
        "Call_B_Fun = callbacks(Path,Dir)\n",
        "\n",
        "history = model2.fit(x_train, y_train,\n",
        "                     batch_size=32, epochs = 20,\n",
        "                     validation_split = 0.2,\n",
        "                     callbacks=Call_B_Fun)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "   2/1250 [..............................] - ETA: 48s - loss: 2.3015 - accuracy: 0.1094WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0090s vs `on_train_batch_end` time: 0.0682s). Check your callbacks.\n",
            "1250/1250 [==============================] - ETA: 0s - loss: 1.9571 - accuracy: 0.2535INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 8s 6ms/step - loss: 1.9571 - accuracy: 0.2535 - val_loss: 1.7029 - val_accuracy: 0.3492\n",
            "Epoch 2/20\n",
            "1244/1250 [============================>.] - ETA: 0s - loss: 1.6337 - accuracy: 0.3936INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.6334 - accuracy: 0.3937 - val_loss: 1.5446 - val_accuracy: 0.4295\n",
            "Epoch 3/20\n",
            "1245/1250 [============================>.] - ETA: 0s - loss: 1.4983 - accuracy: 0.4491INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.4984 - accuracy: 0.4492 - val_loss: 1.4092 - val_accuracy: 0.4812\n",
            "Epoch 4/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 1.4177 - accuracy: 0.4805INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.4177 - accuracy: 0.4805 - val_loss: 1.3904 - val_accuracy: 0.4979\n",
            "Epoch 5/20\n",
            "1248/1250 [============================>.] - ETA: 0s - loss: 1.3575 - accuracy: 0.5050INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.3575 - accuracy: 0.5050 - val_loss: 1.2667 - val_accuracy: 0.5449\n",
            "Epoch 6/20\n",
            "1248/1250 [============================>.] - ETA: 0s - loss: 1.3108 - accuracy: 0.5286INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 8s 6ms/step - loss: 1.3104 - accuracy: 0.5288 - val_loss: 1.2302 - val_accuracy: 0.5604\n",
            "Epoch 7/20\n",
            "1250/1250 [==============================] - ETA: 0s - loss: 1.2678 - accuracy: 0.5446INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.2678 - accuracy: 0.5446 - val_loss: 1.2098 - val_accuracy: 0.5764\n",
            "Epoch 8/20\n",
            "1240/1250 [============================>.] - ETA: 0s - loss: 1.2249 - accuracy: 0.5628INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 8s 6ms/step - loss: 1.2249 - accuracy: 0.5628 - val_loss: 1.1881 - val_accuracy: 0.5822\n",
            "Epoch 9/20\n",
            "1248/1250 [============================>.] - ETA: 0s - loss: 1.2005 - accuracy: 0.5697INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 8s 6ms/step - loss: 1.2004 - accuracy: 0.5697 - val_loss: 1.1630 - val_accuracy: 0.5842\n",
            "Epoch 10/20\n",
            "1246/1250 [============================>.] - ETA: 0s - loss: 1.1739 - accuracy: 0.5820INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.1736 - accuracy: 0.5820 - val_loss: 1.1114 - val_accuracy: 0.6069\n",
            "Epoch 11/20\n",
            "1247/1250 [============================>.] - ETA: 0s - loss: 1.1483 - accuracy: 0.5901INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.1480 - accuracy: 0.5900 - val_loss: 1.0610 - val_accuracy: 0.6215\n",
            "Epoch 12/20\n",
            "1250/1250 [==============================] - 6s 5ms/step - loss: 1.1297 - accuracy: 0.5977 - val_loss: 1.0794 - val_accuracy: 0.6196\n",
            "Epoch 13/20\n",
            "1250/1250 [==============================] - 6s 5ms/step - loss: 1.1148 - accuracy: 0.6032 - val_loss: 1.0684 - val_accuracy: 0.6252\n",
            "Epoch 14/20\n",
            "1250/1250 [==============================] - 6s 5ms/step - loss: 1.0963 - accuracy: 0.6098 - val_loss: 1.0983 - val_accuracy: 0.6059\n",
            "Epoch 15/20\n",
            "1247/1250 [============================>.] - ETA: 0s - loss: 1.0805 - accuracy: 0.6161INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.0804 - accuracy: 0.6162 - val_loss: 0.9990 - val_accuracy: 0.6446\n",
            "Epoch 16/20\n",
            "1248/1250 [============================>.] - ETA: 0s - loss: 1.0668 - accuracy: 0.6209INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.0663 - accuracy: 0.6211 - val_loss: 0.9843 - val_accuracy: 0.6557\n",
            "Epoch 17/20\n",
            "1250/1250 [==============================] - 6s 5ms/step - loss: 1.0567 - accuracy: 0.6259 - val_loss: 1.0043 - val_accuracy: 0.6421\n",
            "Epoch 18/20\n",
            "1246/1250 [============================>.] - ETA: 0s - loss: 1.0401 - accuracy: 0.6313INFO:tensorflow:Assets written to: model2/assets\n",
            "1250/1250 [==============================] - 7s 6ms/step - loss: 1.0401 - accuracy: 0.6312 - val_loss: 0.9698 - val_accuracy: 0.6556\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NagKJp_BawnX",
        "outputId": "1ba0cc83-1bd2-41e8-d6e2-f519e72008c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "evaluate_error(model2)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.6473"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YvviJN9yczLG"
      },
      "source": [
        "# to view in Tensorboard\n",
        "\n",
        "#%load_ext tensorboard\n",
        "#%tensorboard --logdir=model2/my_log_dir"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_qndrpK7dFZM"
      },
      "source": [
        "### 3rd model (lets use a pretrained model)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PIOwFJ94DKDY",
        "outputId": "8e76b7ee-9799-4f9e-e4f4-6503cff09df5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "from tensorflow.keras import Input\n",
        "input_tensor = Input(shape=(32, 32, 3))\n",
        "\n",
        "from tensorflow.keras.applications import VGG16\n",
        "conv_base = VGG16(weights='imagenet',include_top=False,\n",
        "                  input_tensor = input_tensor)\n",
        "\n",
        "#conv_base.summary()\n",
        "from tensorflow.keras import layers, optimizers, Input, Model\n",
        "\n",
        "input_tensor = Input(shape=(32, 32, 3))\n",
        "x = conv_base(input_tensor)\n",
        "y = layers.Flatten()(x)\n",
        "z = layers.Dense(256, activation='relu')(y)\n",
        "z = layers.Dense(128, activation='relu')(z)\n",
        "z = layers.Dense(64, activation='relu')(z)\n",
        "z = layers.Dense(32, activation='relu')(z)\n",
        "output_tensor = layers.Dense(10, activation='softmax')(z)\n",
        "\n",
        "model3 = Model(input_tensor, output_tensor)\n",
        "\n",
        "#SGD #RMSprop #Adam #Adadelta #Adagrad ##Adamax ###Nadam #Ftrl\n",
        "#opt = optimizers.Adam(lr=1e-3)\n",
        "opt = \"Adam\"\n",
        "model3.compile(optimizer = opt, \n",
        "              loss = \"categorical_crossentropy\",\n",
        "              metrics = [\"accuracy\"])\n",
        "\n",
        "#model.summary()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
            "58892288/58889256 [==============================] - 0s 0us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bF04JzfUQOvZ",
        "outputId": "c3e06935-95b6-48d9-b0df-2aa2d8e7b501",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 557
        }
      },
      "source": [
        "Path = \"model3\"\n",
        "Dir = \"my_log_dir\"   \n",
        "Call_B_Fun = callbacks(Path,Dir)\n",
        "\n",
        "history = model3.fit(x_train, y_train,\n",
        "                     batch_size=32, epochs = 20,\n",
        "                     validation_split = 0.2,\n",
        "                     callbacks=Call_B_Fun)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "   2/1250 [..............................] - ETA: 1:11 - loss: 2.8700 - accuracy: 0.0938WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0097s vs `on_train_batch_end` time: 0.1038s). Check your callbacks.\n",
            "1250/1250 [==============================] - ETA: 0s - loss: 2.0175 - accuracy: 0.1888INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 28s 22ms/step - loss: 2.0175 - accuracy: 0.1888 - val_loss: 1.8068 - val_accuracy: 0.2488\n",
            "Epoch 2/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 1.7258 - accuracy: 0.2956INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 28s 22ms/step - loss: 1.7257 - accuracy: 0.2956 - val_loss: 1.6008 - val_accuracy: 0.3762\n",
            "Epoch 3/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 1.4614 - accuracy: 0.4259INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 28s 22ms/step - loss: 1.4616 - accuracy: 0.4258 - val_loss: 1.3591 - val_accuracy: 0.4582\n",
            "Epoch 4/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 1.2316 - accuracy: 0.5464INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 27s 22ms/step - loss: 1.2312 - accuracy: 0.5465 - val_loss: 1.1678 - val_accuracy: 0.5729\n",
            "Epoch 5/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 1.0640 - accuracy: 0.6208INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 27s 22ms/step - loss: 1.0637 - accuracy: 0.6209 - val_loss: 1.0703 - val_accuracy: 0.6173\n",
            "Epoch 6/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 0.9322 - accuracy: 0.6754INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 28s 22ms/step - loss: 0.9323 - accuracy: 0.6753 - val_loss: 0.9295 - val_accuracy: 0.6827\n",
            "Epoch 7/20\n",
            "1250/1250 [==============================] - 25s 20ms/step - loss: 0.8314 - accuracy: 0.7118 - val_loss: 0.9617 - val_accuracy: 0.6799\n",
            "Epoch 8/20\n",
            "1249/1250 [============================>.] - ETA: 0s - loss: 0.7587 - accuracy: 0.7419INFO:tensorflow:Assets written to: model3/assets\n",
            "1250/1250 [==============================] - 27s 22ms/step - loss: 0.7591 - accuracy: 0.7419 - val_loss: 0.8498 - val_accuracy: 0.7145\n",
            "Epoch 9/20\n",
            "1250/1250 [==============================] - 25s 20ms/step - loss: 0.6924 - accuracy: 0.7686 - val_loss: 0.8952 - val_accuracy: 0.7320\n",
            "Epoch 10/20\n",
            "1250/1250 [==============================] - 25s 20ms/step - loss: 0.6423 - accuracy: 0.7857 - val_loss: 0.8802 - val_accuracy: 0.7197\n",
            "Epoch 11/20\n",
            "1250/1250 [==============================] - 25s 20ms/step - loss: 0.9610 - accuracy: 0.6846 - val_loss: 0.8854 - val_accuracy: 0.7065\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q3UG7QGUQ7sD",
        "outputId": "8009caff-4e5d-4a92-b170-152032626a51",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "evaluate_error(model3)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.9328"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "91Bo2Rs3c3Ad"
      },
      "source": [
        "# to view in Tensorboard\n",
        "\n",
        "#%load_ext tensorboard\n",
        "#%tensorboard --logdir=model3/my_log_dir"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CTf5L11UdxyX"
      },
      "source": [
        "### Evaluation codes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IWD5VH0QTPxG"
      },
      "source": [
        "#evaluation = model1.evaluate(x_test,y_test,verbose=2)\n",
        "#print()\n",
        "#print(\"Loss: \",evaluation[0]*100,\"%\")\n",
        "#print(\"Accuracy: \",evaluation[1]*100,\"%\")"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z735-vm0d-GK"
      },
      "source": [
        "### Prediction codes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R3gC-f_NWCu9",
        "outputId": "ae76eda2-75ea-4107-f0f7-bf6fd30ef576",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 474
        }
      },
      "source": [
        "predict = 7\n",
        "#a = model1.predict_classes(x_test)[predict] # works on sequential Api\n",
        "a = np.argmax(model1.predict(x_test)[predict]) # works on Functional Api\n",
        "print(\"Predicted value: \",a)\n",
        "print(\"Actual value: \",np.argmax(y_test[predict]))\n",
        "pic  = x_test[predict]\n",
        "plt.imshow(pic,cmap = plt.cm.binary)\n",
        "plt.show()\n",
        "display(class_names)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Predicted value:  6\n",
            "Actual value:  6\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "['0.airplane',\n",
              " '1.automobile',\n",
              " '2.bird',\n",
              " '3.cat',\n",
              " '4.deer',\n",
              " '5.dog',\n",
              " '6.frog',\n",
              " '7.horse',\n",
              " '8.ship',\n",
              " '9.truck']"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iAOaV18edvXS",
        "outputId": "35c257b0-98b3-4900-9bb5-4c4df6b4d567",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        }
      },
      "source": [
        "# lets print all three models error\n",
        "E1 = evaluate_error(model1)\n",
        "E2 = evaluate_error(model2)\n",
        "E3 = evaluate_error(model3)\n",
        "\n",
        "print(\"Model 1 :\",E2)\n",
        "print(\"Model 2 :\",E2)\n",
        "print(\"Model 3 :\",E3)"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model 1 : 8.6473\n",
            "Model 2 : 8.6473\n",
            "Model 3 : 8.9328\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Qro490Vdvla",
        "outputId": "808dd6bc-185a-46bd-9bff-ff39b3ee3295",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 259
        }
      },
      "source": [
        "# Lets evaluate all three models\n",
        "\n",
        "evaluation1 = model1.evaluate(x_test,y_test,verbose=2)\n",
        "print(\"Model1 :\")\n",
        "print(\"Loss: \",evaluation1[0]*100,\"%\")\n",
        "print(\"Accuracy: \",evaluation1[1]*100,\"%\")\n",
        "print(\"Model2 :\")\n",
        "evaluation2 = model2.evaluate(x_test,y_test,verbose=2)\n",
        "print()\n",
        "print(\"Loss: \",evaluation2[0]*100,\"%\")\n",
        "print(\"Accuracy: \",evaluation2[1]*100,\"%\")\n",
        "print(\"Model3 :\")\n",
        "evaluation3 = model3.evaluate(x_test,y_test,verbose=2)\n",
        "print()\n",
        "print(\"Loss: \",evaluation3[0]*100,\"%\")\n",
        "print(\"Accuracy: \",evaluation3[1]*100,\"%\")"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "313/313 - 1s - loss: 0.9489 - accuracy: 0.6975\n",
            "Model1 :\n",
            "Loss:  94.8875904083252 %\n",
            "Accuracy:  69.74999904632568 %\n",
            "Model2 :\n",
            "313/313 - 1s - loss: 0.9956 - accuracy: 0.6515\n",
            "\n",
            "Loss:  99.56130981445312 %\n",
            "Accuracy:  65.14999866485596 %\n",
            "Model3 :\n",
            "313/313 - 2s - loss: 0.9103 - accuracy: 0.7014\n",
            "\n",
            "Loss:  91.03076457977295 %\n",
            "Accuracy:  70.13999819755554 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Tvw6iLPbexiH"
      },
      "source": [
        "### Merging all three models prediction (our main target)\n",
        "The easiest way to pool the predictions of a set\n",
        "of classifiers (to ensemble the classifiers) is to average their predictions at inference time.\n",
        "\n",
        "#\n",
        "0.33 defines the amount of data we take from each models (not sure)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vfZEZsMGZzgf"
      },
      "source": [
        "preds_a = model1.predict(x_test)\n",
        "preds_b = model2.predict(x_test)\n",
        "preds_c = model3.predict(x_test)\n",
        "\n",
        "final_preds = 0.33 * (preds_a + preds_b + preds_c)"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YdvKodn5e9Rx"
      },
      "source": [
        "### Predicting from the Merged prediction"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-4sR0_X-Zzl9",
        "outputId": "27f13484-1804-43f8-bb06-19f657a91917",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "predict = 7\n",
        "a = np.argmax(final_preds[predict])\n",
        "print(\"Predicted value: \",a)\n",
        "print(\"Actual value: \",np.argmax(y_test[predict]))"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Predicted value:  6\n",
            "Actual value:  6\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KIyb8SvkhvQI"
      },
      "source": [
        "\n",
        "A smarter way to ensemble classifiers is to do a weighted average, where the\n",
        "weights are learned on the validation data—typically, the better classifiers are given a\n",
        "higher weight, and the worse classifiers are given a lower weight. To search for a good\n",
        "set of ensembling weights, you can use random search or a simple optimization algorithm such as Nelder-Mead:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MwfnGf0VZzrW",
        "outputId": "688e4630-81cb-4602-e67d-b91cb5652588",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "preds_a = model1.predict(x_test)\n",
        "preds_b = model2.predict(x_test)\n",
        "preds_c = model3.predict(x_test)\n",
        "\n",
        "final_preds2 = 0.30 * preds_a + 0.60 * preds_b + 0.1 * preds_c\n",
        "\n",
        "predict = 7\n",
        "a = np.argmax(final_preds[predict])\n",
        "print(\"Predicted value: \",a)\n",
        "print(\"Actual value: \",np.argmax(y_test[predict]))"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Predicted value:  6\n",
            "Actual value:  6\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pknr9W2EZzjb"
      },
      "source": [
        ""
      ],
      "execution_count": 26,
      "outputs": []
    }
  ]
}